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Record W2983666100 · doi:10.7557/13.5014

The Broodmother as Monstrous-Feminine—Abject Maternity in Video Games

2019· article· en· W2983666100 on OpenAlexaff
Sarah Stang

Bibliographic record

VenueNordlit · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicDigital Games and Media
Canadian institutionsYork University
Fundersnot available
KeywordsMainstreamSociologyHegemonyIdeologyAestheticsFraming (construction)Gender studiesCreedArtHistoryPoliticsPhilosophyLaw

Abstract

fetched live from OpenAlex

This article examines examples of the monstrous-feminine in the form of abject maternal monsters in a selection of commercially successful and critically acclaimed mainstream video games using conceptual frameworks and textual analysis methods established in the work of Julia Kristeva and Barbara Creed. The Broodmother from Dragon Age: Origins (2009) and the Mother from Dragon Age: Origins—Awakening (2010) are considered as problematic examples of the abject monstrous-feminine which fall into a long tradition in horror media of framing the female body and the birthing process as something horrific and repulsive. Kerrigan from the StarCraft series (1998–2017) is examined as a possible counter-example, demonstrating that the monstrous-feminine can exist in a playable and potentially empowered form, though she is problematically empowered within a violent, militant framework. Overall, this article critically analyses the ways in which video games remediate tropes of gendered monstrosity and reinforce the misogynist norms and values of hegemonic heteropatriarchal ideology by forcing players to enact symbolic violence against transgressive female bodies.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.953
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.009
GPT teacher head0.277
Teacher spread0.269 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations18
Published2019
Admission routes1
Has abstractyes

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